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Research project (§ 26 & § 27)
Duration : 2019-11-01 - 2022-10-31

A complete electrification of logistics fleets will generate extremely high peak loads and total consumption through the necessary "refuelling processes" at the respective logistics hub. In order to be able to cover these additional consumption and peak loads, there are basically three approaches or strategies: 1. massive expansion of the network connection at the logistics hubs 2. partial expansion of the network connections and installation of stationary power storage units to compensate for peak loads 3. automated decentralized refuelling ("Charge Everywhere") at as many stops as possible of the respective logistics vehicle Automated decentralized refuelling would on the one hand help logistics companies to avoid or at least minimize the extremely high loads at the hub caused by the refuelling processes of the electric fleets and the associated costs for the mostly necessary network expansion. On the other hand, this strategy relieves the grid operators, since the increased electricity consumption and the massive peak loads resulting from the electrification of logistics fleets are distributed both temporally and spatially. In addition, the batteries of electric trucks can currently only cover trips of up to approx. 150 km. Larger battery capacities can be technically implemented, but they are associated with additional costs and also with significant reductions in payloads. Thus a complete electrification of logistics fleets or their entire tours is only possible or sensible with recharging anyway. Furthermore, decentralised refuelling achieves a strong synchronisation of loading and unloading processes. Thus the range and the net driving time of the vehicle can be increased by decentralized loading on the one hand and on the other hand. The automation of loading points is particularly relevant in the case of short downtimes of logistics vehicles (e.g. store delivery), in order to eliminate the expense for the refuelling process and to avoid errors due to the plugging in process. The development of autonomous decentralised loading points/loading robots, including the establishment of a standard, is already being strongly promoted in the passenger car and bus sector. However, there are currently no practicable solutions for electric trucks in the logistics sector. Therefore, this project aims at the development of an autonomous and fast loading robot for electric trucks for the logistics sector. Translated with www.DeepL.com/Translator
Research project (§ 26 & § 27)
Duration : 2019-01-01 - 2021-12-31

This project includes participation in IEA Bioenergy Task33 - Biomass Thermal Gasification, Inter- and National Networking and Dissemination of Information within Austria. The goal of IEA Bioenergy Task33 is to support and promote the thermal gasification of biomass and waste. The activities of task 33 are coordinating the research activities of the individual member countries to identify non-technical barriers and, if possible, eliminate them. The exchange of experience and the joint activities in this task are very valuable for Austria, as some new gasification projects are currently being implemented where experience from projects in other countries can be incorporated in this way.
Research project (§ 26 & § 27)
Duration : 2019-04-01 - 2020-03-31

Short description of the service package to be taken over by the Climate and Energy Fund (referred to below as the "Performance Package") includes the initiation of new customer segments and the use of up to ten fully electric persons and goods, and Service vehicles. Greater market penetration is to be achieved with various partners from the theory and practice of different regions of Austria. The all-electric test vehicles are used intensively by interested companies within a month in order to gain experience such as these or similar e-vehicles can then continue to be applied to the company's own fleet of vehicles. . Existing potential partners are Lagermax, Brauunion and Metro. Ride service providers are still being sought.

Supervised Theses and Dissertations